نتایج جستجو برای: fuzzy c means clustering

تعداد نتایج: 1530679  

Journal: :Scientia Iranica 2021

In some complicated datasets, due to the presence of noisy data points and outliers, cluster validity indices can give conflicting results in determining optimal number clusters. This paper presents a new index for fuzzy-possibilistic c-means clustering called Fuzzy-Possibilistic)FP (index, which works well clusters that vary shape density. Moreover, FPCM like most algorithms is susceptible ini...

Journal: :CoRR 2010
S. Zulaikha Beevi M. Mohammed Sathik K. Senthamaraikannan

Medical image segmentation demands an efficient and robust segmentation algorithm against noise. The conventional fuzzy c-means algorithm is an efficient clustering algorithm that is used in medical image segmentation. But FCM is highly vulnerable to noise since it uses only intensity values for clustering the images. This paper aims to develop a novel and efficient fuzzy spatial c-means cluste...

2006
E. A. Zanaty

Classical and clustering techniques for image segmentation are important tools in medical sciences. Classical techniques include histogram, region growing, watershed, and contour. The more recent clustering techniques include standard fuzzy c-means clustering, kernelized c-means, spatial constrained fuzzy c-means, and k-means clustering. These methods are applied on different images, synthetic ...

Journal: :Building of Informatics, Technology and Science (BITS) 2022

Melon plants are that susceptible to disease, both diseases caused by viruses and those bacteria. One part of the plant can be affected disease is leaves. Leaves on diseased generally change color which will then affect other leaves inhibit development growth these plants. This study aims classify melon from leaf images. The data used in this 160 images grouped into several groups healthy group...

Journal: :IOP Conference Series: Materials Science and Engineering 2019

Journal: :Teknois : Jurnal Ilmiah Teknologi Informasi dan Sains 2019

Journal: :International Journal of Computer Applications 2016

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